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Edge Computing Systems with Kubernetes

You're reading from  Edge Computing Systems with Kubernetes

Product type Book
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568594
Pages 458 pages
Edition 1st Edition
Languages
Author (1):
Sergio Méndez Sergio Méndez
Profile icon Sergio Méndez

Table of Contents (21) Chapters

Preface 1. Part 1: Edge Computing Basics
2. Chapter 1: Edge Computing with Kubernetes 3. Chapter 2: K3s Installation and Configuration 4. Chapter 3: K3s Advanced Configurations and Management 5. Chapter 4: k3OS Installation and Configurations 6. Chapter 5: K3s Homelab for Edge Computing Experiments 7. Part 2: Cloud Native Applications at the Edge
8. Chapter 6: Exposing Your Applications Using Ingress Controllers and Certificates 9. Chapter 7: GitOps with Flux for Edge Applications 10. Chapter 8: Observability and Traffic Splitting Using Linkerd 11. Chapter 9: Edge Serverless and Event-Driven Architectures with Knative and Cloud Events 12. Chapter 10: SQL and NoSQL Databases at the Edge 13. Part 3: Edge Computing Use Cases in Practice
14. Chapter 11: Monitoring the Edge with Prometheus and Grafana 15. Chapter 12: Communicating with Edge Devices across Long Distances Using LoRa 16. Chapter 13: Geolocalization Applications Using GPS, NoSQL, and K3s Clusters 17. Chapter 14: Computer Vision with Python and K3s Clusters 18. Chapter 15: Designing Your Own Edge Computing System 19. Index 20. Other Books You May Enjoy

Summary

In this chapter, we learned how to install K3s using the k3OS, a production-ready Linux distribution, covering how to prepare your VMs in case that you want to create a cluster for x86_64 architectures. Then, we moved on to explain how configuration files are used to perform advanced and custom cluster installations, and how you can configure them to create a multi-node cluster using the ISO image or the overlay installation. Finally, we covered how to create a multi-node cluster using the overlay installation, to reduce the manual configurations to install K3s using the k3OS potential. Now, we are close to starting use cases and real configuration in the coming chapters. In the next chapter, we are going to create a production-ready cluster using all the things that we learned in the previous chapters.

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